Arístides Alfredo Vara Horna's Projects
Spells for everyday living. (also a book coming out in 2024)
Data sets for "An Introduction to Categorical Data Analysis" and "Categorical Data Analysis", 3rd editions
R Package for the Analysis and Visualization of Circumplex Data
NMA Computational Neuroscience course
NMA deep learning course
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Datasets and external files of academic courses.
Data Analysis with IBM SPSS Statistics, published by Packt
The Leek group guide to data sharing
Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.
Materiales del curso "Estadística y Psicología Matemática".
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Repo for Spirling and Stewart's "What Good is a Regression?" Project
Materiales del curso "Introducción a Python para la Investigación Psicológica".
Source files for "Learning Statistics with JASP"
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Multidimensional item response theory
The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Quantnet: MVA quantlets
This repository holds data and code for the paper "Network approaches to the analysis of multivariate data in psychological science"
Perceptron diseñado con la idea de asimilar los conceptos escondidos detras del algoritmo backpropagation.
Code repository for O'Reilly book
Repository for Programming Assignment 2 for R Programming on Coursera
An R package for Network Psychometric
R Code for World Bank Handbook on Impact Evaluation
Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.